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MCQs on “Artificial Intelligence and the Future of Work”

  • Posted by ScientiaTutorials.in
  • Categories Science and Technology
  • Date 09/12/2024

1. What is Artificial Intelligence (AI)?

A. Software development method
B. Simulation of human intelligence by machines
C. A branch of biology
D. A type of natural language processing

Answer: B


2. Which sector is most likely to be impacted by AI-driven automation?

A. Retail
B. Manufacturing
C. Healthcare
D. All of the above

Answer: D


3. Which of the following is a core component of AI systems?

A. Manual input
B. Machine learning
C. Database indexing
D. Cloud storage

Answer: B


4. What is the term for AI systems that can learn and adapt to new data without human intervention?

A. Rule-based systems
B. Deep learning
C. Supervised learning
D. Automated analytics

Answer: B


5. Which ethical concern is associated with the deployment of AI in workplaces?

A. Employee displacement
B. Increased job satisfaction
C. Improved decision-making
D. Higher data security

Answer: A


6. What is the role of Natural Language Processing (NLP) in AI?

A. Enhances human-computer interaction
B. Improves visual recognition systems
C. Automates manufacturing processes
D. Increases hardware efficiency

Answer: A


7. Which of these AI applications is transforming human resource management?

A. Recruitment automation
B. Predictive analytics for employee retention
C. AI-based training modules
D. All of the above

Answer: D


8. What is the primary advantage of AI in the workplace?

A. Increased manual labor
B. Enhanced productivity and efficiency
C. Reduction in employee creativity
D. High operational costs

Answer: B


9. What is “machine learning”?

A. Machines programmed with fixed rules
B. Machines that improve performance based on data
C. Machines capable of independent thought
D. Machines with built-in emotions

Answer: B


10. Which AI technology enables chatbots?

A. Neural networks
B. Predictive maintenance
C. Natural language processing
D. Computer vision

Answer: C


11. What does “deep learning” primarily involve?

A. Shallow neural networks
B. Large datasets and layered algorithms
C. Rule-based programming
D. Small-scale data analysis

Answer: B


12. Which of the following is NOT a challenge in implementing AI in the workplace?

A. Cost of AI systems
B. Data privacy concerns
C. Reduction in carbon emissions
D. Lack of skilled professionals

Answer: C


13. What is “job polarization” in the context of AI?

A. Equal distribution of all jobs
B. The growth of high-skill and low-skill jobs while middle-skill jobs decline
C. Increasing workplace harmony
D. The removal of job categories

Answer: B


14. How does AI influence workplace decision-making?

A. By eliminating all human oversight
B. By providing data-driven insights
C. By restricting real-time processing
D. By reducing data usage

Answer: B


15. Which industry benefits significantly from AI-driven predictive maintenance?

A. Agriculture
B. Manufacturing
C. Tourism
D. Retail

Answer: B


16. What is “Robotic Process Automation” (RPA)?

A. Robots used for physical labor
B. AI-driven software automating repetitive tasks
C. Manual coding of workflows
D. Data mining techniques

Answer: B


17. How can AI improve workplace collaboration?

A. By replacing human teams
B. Through AI-powered project management tools
C. By limiting communication channels
D. By automating decision-making

Answer: B


18. Which AI-enabled tool is commonly used in marketing?

A. Predictive analytics
B. CAD software
C. Blockchain
D. Geographic information systems

Answer: A


19. What does the term “cobots” refer to?

A. Independent robots
B. Collaborative robots working alongside humans
C. AI systems in customer service
D. Cloud-based automation tools

Answer: B


20. How can AI contribute to sustainable practices in the workplace?

A. By increasing energy consumption
B. Through efficient resource management
C. By reducing automation
D. By avoiding renewable technologies

Answer: B


21. What is the risk of “algorithmic bias” in AI?

A. Reduced efficiency
B. Unequal treatment based on flawed algorithms
C. Increased objectivity
D. Reduced data privacy

Answer: B


22. Which skill is essential for employees in an AI-driven workplace?

A. Routine task proficiency
B. Adaptability and digital literacy
C. Manual dexterity
D. Resistance to change

Answer: B


23. What is “explainable AI”?

A. AI that requires no oversight
B. AI whose decision-making process is transparent
C. AI that replaces human workers
D. AI used in entertainment

Answer: B


24. Which sector uses AI for fraud detection?

A. Education
B. Financial services
C. Hospitality
D. Agriculture

Answer: B


25. How can AI address skill gaps in the workforce?

A. By replacing all employees
B. Through AI-driven training and development programs
C. By reducing the need for training
D. By increasing job automation

Answer: B


26. What is “edge AI”?

A. AI implemented in cloud systems
B. AI algorithms processed on local devices
C. AI dependent on supercomputers
D. AI that uses manual inputs

Answer: B


27. What is the primary role of AI in supply chain management?

A. Increasing manual labor
B. Enhancing efficiency and demand forecasting
C. Eliminating the need for storage
D. Reducing production

Answer: B


28. Which type of AI focuses on replicating human cognitive functions?

A. Narrow AI
B. General AI
C. Superintelligent AI
D. Predictive AI

Answer: B


29. Which of the following can mitigate the ethical concerns of AI adoption?

A. Absence of regulations
B. Transparent algorithms and accountability frameworks
C. Ignoring data security
D. Avoiding human oversight

Answer: B


30. What is the future of work with AI according to experts?

A. Complete job displacement
B. Hybrid work environments with AI augmenting human roles
C. Exclusive reliance on manual tasks
D. Elimination of all workplace collaboration

Answer: B

Tag:CBSE Study Materials, Home tuition in guwahati, IAS preparation topics, Mcqs for entrance exams, MCQs with answer for CBSE, Science and Technology for APSC, UPSC IAS exam topics, UPSC topics on Science and Technology

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09/12/2024

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Artificial Intelligence and the Future of Work: Navigating Transformation
09/12/2024

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